计算机与数字工程2016，Vol.44Issue(4)：610-614,5.DOI:10.3969/j.issn.1672-9722.2016.04.011
基于 LS-SVM 的电力通信网性能劣化评估与预测模型研究
Performance Degradation Assessment and Prediction Model of Power Communication Network Based on LS-SVM
施健 1缪巍巍 2吴海洋2
作者信息
- 1. 南京南瑞集团公司 南京 210003
- 2. 江苏省电力公司 南京 210024
- 折叠
摘要
Abstract
With the increasing scale of power communication network ,the operation and maintenance personnel are more and more difficult to effectively monitor the real‐time operational status and accurately determine equipment failure . Therefore ,it is necessary to study the health state evaluation and performance degradation trend prediction of communication network operation .In this paper ,making full use of the existing mass communications network status monitoring data ,pow‐er communication network performance evaluation model based on the deterioration of the health status of the data is pro ‐posed .On this basis ,least squares support vector machine (LS‐SVM ) time series is used to forecast performance degrada‐tion ,in order to timely complete the communication network abnormal state early warning ,improve communication network operation and maintenance level ,reduce the fault caused by the loss of the network .关键词
电力通信网/劣化评估/预测模型Key words
power communication network/degradation assessment/prediction model分类
信息技术与安全科学引用本文复制引用
施健,缪巍巍,吴海洋..基于 LS-SVM 的电力通信网性能劣化评估与预测模型研究[J].计算机与数字工程,2016,44(4):610-614,5.
